external customers‚ feedback will be collected through emails‚ surveys‚ questionnaires and/or complete online surveys. Peter has decided to use the brainstorming method so as to able to undertake solutions to the problems identified. According to him‚ brainstorming will be a useful way of generating radical solutions to the problems. Since brainstorming combines a relaxed‚ informal approach to problem-solving with lateral thinking‚ it asks that people come up with crazy and creative ideas and thoughts
Premium ISO 9000 Quality assurance Quality management
Background Wine was once viewed as a luxury good‚ but now it is increasingly enjoyed by a wider range of consumers. According to the different qualities‚ the prices of wines are quite different. So when the wine sellers buy wines from wine makers‚ it’s important for them to understand the wine quality‚ which is in some degrees affected by some chemical attributes. When wine sellers get the wine samples‚ it makes difference for them to accurately classify or predict the wine quality and this will
Premium Regression analysis Linear regression
Self-Constructing Neural Fuzzy Inference Network and Its Applications‚” IEEE TRANSACTIONS ON FUZZY SYSTEMS‚ vol. 6‚ no. 1‚ pp. 12–32‚ 1998. [12] D. Wang‚ C. Quek‚ and G. Ng‚ “Novel self-organizing Takagi Sugeno Kang fuzzy neural networks based on ART-like clustering‚” Neural Processing Letters‚ vol. 20‚ no. 1‚ pp. 39–51‚ 2004. [13] K. H. Quah and C. Quek‚ "FITSK: Online Local Learning With Generic Fuzzy Input Takagi–Sugeno–Kang Fuzzy Framework for Nonlinear System Estimation‚" IEEE TRANSACTIONS ON SYSTEMS
Premium Fuzzy logic Machine learning Artificial neural network
In pattern recognition‚ the k-Nearest Neighbors algorithm (or k-NN for short) is a non-parametric method used for classification and regression. In both cases‚ the input consists of the k closest training examples in the feature space. The output depends on whether k-NN is used for classification or regression: • In k-NN classification‚ the output is a class membership. An object is classified by a majority vote of its neighbors‚ with the object being assigned to the class most common among its k
Premium Machine learning Data mining Algorithm
This is better described by the famous small world networks. It was Watts and Strogatz in 1998 that recognised that a class of random graphs could be categorised as small world networks. They noted that graphs could be classified according to their clustering coefficient and their diameter. Many random
Premium Graph theory World Wide Web
penicillin for a week. But current techniques cannot discriminate between a lesion and an abscess .Our paper aims at distinguishing these two by astute measurement of their respective sizes using two algorithms –hill climbing algorithm‚ fuzzy C mean clustering algorithm aided by fundus photograph. Keywords: Abscission‚ Fuzzy C‚ Hill climbing‚ Endodontic therapy‚ Lesion‚ Gutta- percha. I INTRODUCTION Human teeth will be more prone to infection if it is void of any care. In the recent past many people
Premium Image processing Endodontics Cluster analysis
light symmetric key management schemes‚ especially in the scenarios of RFID‚ are still at an initial phase and call for enormous research efforts. We propose a certificate revocation status validation scheme called EKA2‚ using the concept of clustering from data mining to evaluate the trustiness of digital certificates. Keywords— Authentication Scheme‚ RFID‚ VANETs. EXTENDED ABSTRACT T HERE HAS been growing interest in developing secure and convenient driving conditions in the past
Premium Certificate authority Wireless Public key infrastructure
ITKM Analysis of Data Mining The article Data Mining by Christopher Clifton analyzed how different types of data mining techniques have been applied in crime detection and different outcomes. Moreover‚ the analysis proposed how the different data mining techniques can be used in detection of different form of frauds. The analysis gave the advantages and disadvantages of using data mining in different operation. The major advantage was that data mining enables analysis of large quantities
Premium Data mining Fraud
provides the company with a strong financial base and enables it to undertake new business ventures. Clustering of company units With the continued growth of the coffee market‚ the company has looked to expand its business‚ including those areas where it has an established presence. Starbucks has targeted clustering its units so as to dominate particular areas. A strategy of unit clustering‚ and a focus on stores that have convenient access for pedestrians and drivers‚ represents further opportunity
Premium Coffee Starbucks
basic server version on which the other versions are based Designed to meet the everyday needs of small to large businesses Windows Server 2008 Standard Edition (continued) Symmetric multiprocessor (SMP) computer A multiprocessor computer Hyper-V Clustering Hot-add memory The ability to add RAM without shutting down the computer or operating system Fault tolerant memory sync Enables memory to resynchronize after transient memory problems so there is no interruption to current computing activities
Free Windows Server 2008